Data Scientist

ImpactAs an Data Scientist on the Marketing Data Science team at Shipt, you will be responsible for shaping and growing marketing intelligence for Shipt via quantitative analysis, modeling and experimentation, shaping business decisions and the companies core marketing capabilities.

Every day you will work on developing and refining marketing mix models (MMM) and multi-touch attribution models to measure marketing effectiveness across channels. You will perform structured quantitative marketing analysis, interpreting and synthesizing data to generate actionable business recommendations as well as identify and evaluate audience segmentation strategies and targeting approaches.

What You’ll Need to Be Successful

• 1+ year Experience with various types of digital marketing, including but not limited to paid search, SEO, email, display, and paid social.

• Experience with marketing attribution modeling, marketing mix modeling (MMM), and causal inference methodologies.

• Experience developing marketing optimization algorithms and conducting robust analyses on clickstream and campaign performance data.

• Ability to define and track KPIs for marketing performance and budget efficiency.

• Proficiency in experimental design and causal inference.

• Experience building data visualization and report dashboards

• Python or R, SQL, and enterprise reporting tools such as Tableau.

Work Arrangement

Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader.  Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.

About Shipt

Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.

At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day.  Learn More.

Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.

Please inform your recruiting contact upon initial connection if you need any accommodations.

Employees (and eligible family members) are covered by medical, dental, vision and more.  Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.  Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

Pay Range:

Metro Areas of Boston, District of Columbia, Los Angeles, San Francisco, Seattle and New York City: 

$83,300-$166,800

All other locations:

$73,900-$147,900

Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.